#Language-models
Showing 45 of 45 repositories tagged #language-models, ranked by stars
πΈ Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Open-source offline translation library written in Python
From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 π
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
Unofficial API Wrapper for Perplexity.ai + Account Generator with Web Interface
ζ₯ζ¬θͺLLMγΎγ¨γ - Overview of Japanese LLMs
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.
[ACL 2023] Reasoning with Language Model Prompting: A Survey
Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for DocumentΒ Q&A
LLM-based ontological extraction tools, including SPIRES
PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
Active Learning for Text Classification in Python
This repository contains a collection of papers and resources on Reasoning in Large Language Models.
Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
π΅οΈββοΈ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.
PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. π Best Paper Awards @ NeurIPS ML Safety Workshop 2022
Latency and Memory Analysis of Transformer Models for Training and Inference
ChatGPT Universe is fleeting notes on ChatGPT, GPT, and large language models (LLMs)
Python library & framework to build custom translators for the hearing-impaired and translate between Sign Language & Text using Artificial Intelligence.
On-device LLM Inference Powered by X-Bit Quantization
π€π aiFlows: The building blocks of your collaborative AI
This repository will guide you to create your own Smart Virtual Assistant like Google Assistant using Open AI's ChatGPT, Whisper. The entire solution is created using Python & Gradio.
This repository contains landmark research papers in Natural Language Processing that came out in this century.
On-device AI recipes for building private, real-time applications with production-grade voice, language, and vision SDKs. Ready-to-use, open-source code examples.
Commanding robots using only Language Models' prompts
AI-powered universal search for all your personal data, tailored just for you. Goal:The world's first product with "edge-side LLMs + consumer data localization" as its core development direction.
A collection of resources on using BERT (https://arxiv.org/abs/1810.04805 ) and related Language Models in production environments.
[COLING22] An End-to-End Library for Evaluating Natural Language Generation
TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields
Multimodal Instruction Tuning for Llama 3
Experience the power of Clarifaiβs AI platform with the python SDK. π Star to support our work!
Tree prompting: easy-to-use scikit-learn interface for improved prompting.
This repository provides a comprehensive starter kit for leveraging GitHub's GPT-4o AI models with Node.js.
Experience the power of Clarifaiβs AI platform with the nodejs SDK. π Star to support our work!
A prompt hub to help you get the most out of your favorite LLM by generating (or using ready-made) optimized prompts!
NLP Section of the Data Science course, NRU HSE
A curated list of vintage large language models β also called historical or time-capsule LLMs β trained from scratch on text from bounded historical periods, along with the papers, datasets, demos, and discussions surrounding them.
A focused resource for mastering prompt engineering, featuring practice problems, examples, and interview-oriented techniques for optimizing AI model interactions. Covers crafting effective prompts for NLP models like GPT and BERT, with Python-based exercises.
The course provides guidance on best practices for prompting and building applications with the powerful open commercial license models of Llama 2.
Echo Mode β A semantic resonance protocol for LLM tone control
Timeless principles and best practices for working with language models - tooling-agnostic, future-proof, and clear.
A CLI tool that helps you generate context files for Large Language Models (LLMs).